Applied AI / LLM engineer

Mad Devs; United States; Remote; USD 90,000 - 170,000; Full time

Benefits offered by this job

Flexible hours

Remote-first culture

Long-term projects

Salary in dollars

Professional communities

Onsite business trips

Training budget

Paid conferences

Job summary

Mad Devs в США ищет инженера по искусственному интеллекту, который возьмет на себя развитие AI-слоя продуктов — от исследований до развёртывания в продакшн. Вы будете нести полный цикл ответственности за AI‑инициативы и работать над реальными задачами GenAI.

Вы будете строить конвейеры LLM, агенты и RAG‑системы, развивать сервисы на Python (Django, Celery, Redis), оптимизировать качество моделей и затраты на инфраstructure, плотно сотрудничая с продукт‑менеджерами и инженерами.

Qualifications

• Опыт внедрения NLP-проектов в продакшне не менее 1 года.
• Опыт разработки продакшн‑LLM приложений.
• Навык работы с RAG, эмбеддингами и векторными БД.
• Опыт работы с LangGraph или LangChain.
• Сильный бэкэнд на Python (Django, PostgreSQL, асинхронность).
• SQL и Pandas, ориентированность на данные.
• Английский B2–C1, русский C1.
• Будет плюсом: Qdrant, pgvector, Fine-tuning, Kubernetes, gRPC, Go.

Responsibilities

• Разработка конвейеров LLM, агентов и RAG‑систем.
• Разработка продакшн‑сервисов на Python: Django, Celery, Redis.
• Валидация гипотез продукта на реальных данных.
• Измерение качества, производительности и затрат LLM.
• Сотрудничество с продакт-менеджерами и инженерами для масштабирования решений.

Skills

NLP in production

LLM applications

RAG systems

LangChain

Python backend

Django

PostgreSQL

Async programming

SQL

Pandas

English B2-C1

Tools

LangGraph

LangChain

Qdrant

pgvector

Kubernetes

gRPC

Go

Job description

Описание:

We're looking for an AI Engineer to own the AI layer of our products, from research and experimentation to production deployment. You'll have end-to-end ownership of AI initiatives, work on real-world GenAI challenges, and help shape the future of AI-powered products.

Задачи:

• Design and build LLM pipelines, AI agents, and RAG-based systems, including function and tool calling and structured outputs using JSON schemas.
• Develop production-grade Python services using Django, Celery, and Redis.
• Validate product hypotheses using real-world data and analytics.
• Measure and optimize LLM quality, performance, and cost.
• Collaborate closely with product managers and engineers to turn ideas into scalable solutions.

Требования:

• Experience with NLP projects in production, 1+ year.
• Strong experience building production LLM applications.
• Hands-on expertise with RAG, embeddings, vector search, prompt engineering, and LLM evaluation.
• Experience with LangGraph, LangChain, or similar frameworks.
• Solid Python backend background, 2+ years (Django, PostgreSQL, async programming).
• Strong SQL/Pandas skills and a data-driven mindset.
• Language proficiency: English at B2–C1, Russian at C1.
• Будет плюсом: Hands-on work with vector databases such as Qdrant or pgvector; Fine-tuning, text classification, and embedding model development; Working knowledge of Kubernetes, gRPC, or Go

Условия:

At Mad Devs, you will join a company that values creativity, strategic thinking, and continuous improvement. You will work on projects that reach millions of users worldwide, alongside a strong and supportive team. Here, you will grow professionally, take on meaningful challenges, and contribute to products that solve real problems at scale.

• Flexible working hours
• Remote-first culture
• Long-term projects
• Salary in dollars
• Professional communities
• Onsite business trips
• Training budget
• Paid conferences